✦ LIBER ✦

Advancement of three chemometric tools: network architecture, unsupervised learning and nonlinear feature extraction

✍ Scribed by Ru-Qin Yu; Jian-Hui Jiang

Book ID: 104309639
Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 129 KB
Volume: 45
Category: Article
ISSN: 0169-7439
DOI: 10.1016/s0169-7439(98)00104-x

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✦ Synopsis

In this paper, a recursive approach to network architecture optimization, an unsupervised learning backpropagation ULBP Ž . algorithm and a nonlinear discriminant feature extraction backpropagation DFEBP algorithm are proposed. Results of realworld chemical problems are presented.